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Clinician-of-Record-Agreement.pdf
https://labs.utsouthwestern.edu/sites/default/files/2022-06/Clinician-of-Record-Agreement.pdf
O:\PSYCHDEP\PRE-D\Recruitment\Approved IRB Documents_6_17_14\Clinician of Record Agreement_6_19_14.doc Clinician of Record’s Agreement to Exchange Information I understand that my patient _______________________________________________ is seeking to participate in the National Institute of Mental Health (NIMH) sponsored research study, Preventing Perinatal Depression: Developing Tools and Interventions (PRE-D), in the Department of Psychiatry at UT Southwestern. She signed a two-way
Microsoft Word - PRE-D Study Consent Form_10_16_14_clean
https://labs.utsouthwestern.edu/sites/default/files/2022-06/Study-Consent-Form.pdf
Page 1 of 17 DO NOT DISCLOSE The University of Texas Southwestern Medical Center CONSENT TO PARTICIPATE IN RESEARCH YOU WILL BE GIVEN A COPY OF THIS CONSENT FORM TO KEEP Title of Research: Preventing Perinatal Depression (PRE-D): Developing Tools and Interventions Funding Agency/Sponsor: National Institute of Mental Health (NIMH) Study Psychologists: Telephone No. Telephone No. (Regular office hours) (Other times) 1. Robin B. Jarrett, Ph.D. 214
Practice Practical Questions
https://labs.utsouthwestern.edu/sites/default/files/2022-08/exam-questions.pdf
Kidney Practice Practical Questions: 1. Bowman's space 2. Bowman's capsule 3. Parietal epithelial cell 4. Mesangial cell 5. Glomerular capillary 6. Urinary pole 7. Vascular pole 8. Cell that senses filtrate osmolarity 9. Cell that produces renin 10. Nucleus of a proximal convoluted epithelial cell 11. Nucleus of a proximal straight epithelial cell 12. Nucleus of a loop of Henle epithelial cell 13. Nucleus of a distal straight epithelial cell 14. Nucleus of a distal convoluted
Muscle Practice Didactic Answers
https://labs.utsouthwestern.edu/sites/default/files/2022-08/muscle-answers.pdf
Didactic Answers 1. Epimysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 2. Perimysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 3. Endomysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 4. Fascicles are A. groupings of
Lrp1 in osteoblasts controls osteoclast activity and protects against osteoporosis by limiting PDGF–RANKL signaling
https://labs.utsouthwestern.edu/sites/default/files/2022-07/41413_2017_Article_6.pdf
ARTICLE OPEN Lrp1 in osteoblasts controls osteoclast activity and protects against osteoporosis by limiting PDGF–RANKL signaling Alexander Bartelt1,2,8, Friederike Behler-Janbeck1,2, F. Timo Beil1,3, Till Koehne3,4, Brigitte Müller1,2, Tobias Schmidt1,2, Markus Heine2,5, Laura Ochs1,2, Tayfun Yilmaz3, Martin Dietrich6, Jan P. Tuckermann7, Michael Amling3, Joachim Herz6, Thorsten Schinke3, Joerg Heeren2 and Andreas Niemeier1,2 Skeletal health relies on architectural integrity and sufficient
Muscle Practice Didactic Questions
https://labs.utsouthwestern.edu/sites/default/files/2022-08/muscle-questions.pdf
Didactic Questions 1. Epimysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 2. Perimysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 3. Endomysium surrounds A. skeletal muscle fibers B. cardiomyocytes C. smooth muscle cells D. skeletal muscle fascicles E. skeletal muscles 4. Fascicles are A. groupings of
A Sensory Soft Robotic Gripper Capable of Learning-Based Object Recognition and Force-Controlled Grasping
https://labs.utsouthwestern.edu/sites/default/files/2025-11/Zhou_TASE-2022.pdf
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 1 A Sensory Soft Robotic Gripper Capable of Learning-Based Object Recognition and Force-Controlled Grasping Zhanfeng Zhou , Runze Zuo, Binbin Ying, Junhui Zhu , Yong Wang, Xin Wang, Member, IEEE, and Xinyu Liu , Member, IEEE Abstract— Soft robotic grippers possess high structural compliance and adaptability, allowing them to grasp objects with unknown and irregular shapes and sizes. To enable more dexterous manipulation, soft sensors
Creating a Comprehensive Research Platform for Surgical Technique and Operative Outcome in Primary Brain Tumor Neurosurgery
https://labs.utsouthwestern.edu/sites/default/files/2025-11/Winkler-Schwartz-WORLD%20NEUROSURGERY-2020.pdf
Original Article Creating a Comprehensive Research Platform for Surgical Technique and Operative Outcome in Primary Brain Tumor Neurosurgery Alexander Winkler-Schwartz1, Recai Yilmaz1, Dan Huy Tran1, Houssem-Eddine Gueziri3, Binbin Ying2, Marius Tuznik4, Vladimir Fonov3, Louis Collins3, David A. Rudko4-6, Jianyu Li2, Patricia Debergue7, Valerie Pazos7, Rolando Del Maestro1 -BACKGROUND: The operative environment poses many challenges to studying the relationship between surgical acts and patient
Toward Highly Matching the Dura Mater: A Polyurethane Integrating Biocompatible, Leak‐Proof, and Self‐Healing Properties
https://labs.utsouthwestern.edu/sites/default/files/2025-11/Chen-Macromolecular%20Bioscience-2023.pdf
RESEARCH ARTICLE www.mbs-journal.de Toward Highly Matching the Dura Mater: A Polyurethane Integrating Biocompatible, Leak-Proof, and Self-Healing Properties Pandi Chen, Fenglong Li, Guyue Wang, Binbin Ying, Chao Chen, Ying Tian, Maosong Chen, Kyung Jin Lee, Wu Bin Ying,* and Jin Zhu* The dura mater is the final barrier against cerebrospinal fluid leakage and plays a crucial role in protecting and supporting the brain and spinal cord. Head trauma, tumor resection and other traumas damage it
Evaluation of dry textile electrodes for long-term electrocardiographic monitoring
https://labs.utsouthwestern.edu/sites/default/files/2025-11/Alizadeh-Meghrazi-Biomedical%20Engineering%20Online-2021.pdf
Evaluation of dry textile electrodes for long‑term electrocardiographic monitoring Milad Alizadeh‑Meghrazi1,2,8* , Binbin Ying3,8, Alessandra Schlums4,8, Emily Lam2,8, Ladan Eskandarian5,8, Farhana Abbas6,8, Gurjant Sidhu7,8, Amin Mahnam8, Bastien Moineau8 and Milos R. Popovic1,2 Background Biopotentials or electrophysiological signals are widely utilized in health monitoring and diagnostics. For example, through electrocardiography (ECG), cardiac activity is recorded and information